Bukit Gedong
Bukit Gedung, 11900 Bayan Lepas, Penang, Malaysia
Bukit Gedung, 11900 Bayan Lepas, Penang, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Persiaran Mayang Pasir 5
|
RM555,000
|
RM593
|
936 sqft
|
|
|
|
Persiaran Mayang Pasir 3
|
RM510,000
|
RM545
|
936 sqft
|
|
|
|
Persiaran Mayang Pasir 3
|
RM520,000
|
RM555
|
936 sqft
|
|
|
|
Solok Kampung Jawa
|
RM830,000
|
RM886
|
936 sqft
|
|
|
|
Solok Kampung Jawa Satu
|
RM800,000
|
RM854
|
936 sqft
|
|
|
|
Persiaran Mayang Pasir 3
|
RM450,000
|
RM481
|
936 sqft
|
|
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Bukit Gedong
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 12
Market Snapshot
ResidentialRM555,000
RM593 psfMedian transaction price
Bukit Gedung, 11900 Bayan Lepas, Penang, Malaysia
MapsBukit Gedong in Barat Daya, Penang recorded 9 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM555K and a median price per square foot (PSF) of RM593.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM555K, with most transactions falling within a stable range of RM406K to RM704K, and a typical market range of RM488K to RM623K.
Most transactions involved cluster house, with high diversity across multiple property types.
Price per square foot shows a median of RM593, though individual units vary from RM434 to RM752 in the core range. The broader market spans RM522.41 to RM662.91, indicating diverse property characteristics. A wider spread (IQR: RM140.50) and deviation (MAD: RM159) indicate significant PSF variations, likely due to diverse property types or conditions.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.